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Few-Step Generation

4 articles · Page 1 of 1
Machine Learning Algorithms & Natural Language Processing
Machine Learning Algorithms & Natural Language Processing
Aug 12, 2026 · Artificial Intelligence

Achieving 4‑Step Diffusion Generation by Replacing MSE with Perceptual Loss in Five Lines of Code

By swapping the traditional MSE loss for a perceptual loss in Flow Matching training, the authors enable high‑quality diffusion generation in only 4–8 inference steps—down from 35–50—without teacher models, distribution or trajectory distillation, and they substantiate the claim with extensive experiments and a new distribution‑distance metric.

Computer VisionDistribution DistanceFew-Step Generation
0 likes · 7 min read
Achieving 4‑Step Diffusion Generation by Replacing MSE with Perceptual Loss in Five Lines of Code
AIWalker
AIWalker
May 20, 2026 · Artificial Intelligence

AnyFlow: Generate High‑Quality Video in 4 Steps and Keep Improving with More Sampling

AnyFlow introduces a flow‑map distillation framework that enables video diffusion models to produce high‑quality results in just four sampling steps while still gaining quality as the number of steps increases, supporting both causal and bidirectional architectures and scaling up to 14 B parameters.

Few-Step GenerationOn-Policy DistillationVideo Diffusion
0 likes · 14 min read
AnyFlow: Generate High‑Quality Video in 4 Steps and Keep Improving with More Sampling
SuanNi
SuanNi
Apr 12, 2026 · Artificial Intelligence

How TDM‑R1 Achieves 4‑Step Image Generation that Beats 80‑Step Models

Researchers from HKUST, CUHK and XiaoHongShu introduced TDM‑R1, a reinforcement‑learning‑based method that enables 4‑step diffusion image generation to surpass 80‑step models in speed, fidelity, and complex instruction adherence, as demonstrated on the GenEval benchmark and multiple quality metrics.

AI image synthesisFew-Step Generationbenchmarking
0 likes · 9 min read
How TDM‑R1 Achieves 4‑Step Image Generation that Beats 80‑Step Models
AIWalker
AIWalker
Apr 7, 2025 · Artificial Intelligence

TurboFill: High‑Quality Image Inpainting in Just 4 Steps

TurboFill introduces a fast image‑inpainting model that trains a repair adapter on a few‑step text‑to‑image diffusion backbone, achieving state‑of‑the‑art results with only four diffusion steps while dramatically reducing computational cost.

Computer VisionFew-Step GenerationTurboFill
0 likes · 17 min read
TurboFill: High‑Quality Image Inpainting in Just 4 Steps